NDLI: Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis

Content Provider	IEEE Xplore Digital Library
Author	Duy-Dinh Le Satoh, S. Houle, M.E. Phuoc, D. Tat Nguyen
Copyright Year	2007
Description	Author affiliation: Nat. Inst. of Inf., Tokyo (Duy-Dinh Le; Satoh, S.; Houle, M.E.)
Abstract	The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to find important people who have appeared repeatedly in a certain time period from large news video databases. Specifically, we investigate two issues: how to group similar faces to find dominant groups and how to label these groups by the corresponding names for identification. These are challenging problems because firstly people can appear with large appearance variations such as hair styles, illumination conditions and poses that make comparing between similar faces more difficult: secondly, the number of people and their occurrence frequencies that are unknown make finding dominant and useful groups more complicated: and finally, the fact that in news video faces and names usually do not appear together can make troubles in aligning faces and names. To handle above problems, we propose using the relevant set correlation based clustering model which can efficiently handle dataset of millions of objects represented in thousands or even millions of dimensions to find groups of similar faces from the large and noisy face dataset. Then in order to identify faces in clusters, names extracted from the transcripts are filtered and used to find the best correspondences by using methods developed in the statistical machine translation literature. Experiments on large video datasets containing hundreds of hours showed that our system can efficiently find out important people by not only their appearance but also their identification.
Starting Page	127
Ending Page	136
File Size	1294808
Page Count	10
File Format	PDF
ISBN	9781424408313
DOI	10.1109/ICDEW.2007.4400982
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-17
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hair Databases Face recognition Scalability Clustering methods Broadcasting Large-scale systems Face detection Data mining Multimedia communication
Content Type	Text
Resource Type	Article

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